UA-BayesView

• This projects goal is to take an OML file that describes a bayesian network and create a visualization of it. This will also take into consideration different types of evidence input by the user.
• This will be deployed on a server as a web application.

SETUP (For Linux/Unix)

Prerequisites

• Docker installed on your machine. If you do not have Docker installed, please follow the installation guide at Docker's official website: https://www.docker.com/products/docker-desktop/

Start Docker Desktop

• Ensure Docker Desktop is running on your machine

Clone the repository

• Use the green code button and copy the HTTPS link. Once copied run git clone replace-with-copied-HTTPS-link in your terminal

Building the Docker image

• Navigate to the directory where you cloned the repository using CD path/to/cloned/repository
• Once in the proper directory run the command docker build -t ua-bayesview .
• Note: This will take a few minutes to run as its building the docker image

Running the Docker image

• In your terminal then run docker run -d -p 8000:5000 ua-bayesview
• In the web browser of your choice go to this link: http://localhost:8000
• You will now be able to access UA-BayesView

Stopping the Docker image

• In the terminal run the command docker ps which will list all the docker imagaes that are running
• Identify the Container ID that corresponds to the ua-bayesview docker image
• Run the command docker stop replace-with-container-id

SETUP (For Windows or people not familiar with Linux/Unix)

Prerequisites

• Docker installed on your machine. If you do not have Docker installed, please follow the installation guide at Docker's official website: https://www.docker.com/products/docker-desktop/
• Visual Studio Code installed on your machine. If you do not have VSCode installed, please follow the installation guide at Visual Studio's official website: https://code.visualstudio.com/download

Start Docker Desktop

• Ensure Docker Desktop is running on your machine

Clone the repository

• Use the green code button on the GitHub code page and copy the HTTPS link
• Once copied open VScode and get to the welcome page
• Locate the clone git repository link and paste in the HTTPS link that was just coppied
• Follow the on screen prompts

Building the Docker image

• Open the cloned repo in VSCode
• In the top left corner of VSCode open a new terminal
• In the VSCode terminal that was just opened paste this command and press the enter key: docker build -t ua-bayesview .
• Note: This will take a few minutes to run as its building the docker image

Running the Docker image

• Open Docker Desktop and go to the Images tab on the left hand side of the application
• Under the Name column find ua-bayesview
• Click the run button on in the Actions column of the ua-bayesview image
• A pop-up will be displayed asking for "Optional settings"
• Click the drop down menu and locate the Host port input section
• Enter in 8000 into the host port section
• Click the run button
• In the web browser of your choice go to this link: http://localhost:8000
• You will now be able to access UA-BayesView

Stopping the Docker image

• In Docker Desktop hit the stop button in the top right corner of the application